Bias of LS estimators in nonlinear regression models with constraints. II: Biadditive models.

DOI10.1023/A:1023045028073zbMath1060.62527OpenAlexW1602049210MaRDI QIDQ1775171

Jean-Baptiste Denis, Andrej Pázman

Publication date: 4 May 2005

Published in: Applications of Mathematics (Search for Journal in Brave)

Full work available at URL: https://eudml.org/doc/32524

zbMATH Keywords

second order approximationasymptotic varianceresponse functionnonlinear least squaresbilinear model

Mathematics Subject Classification ID

Asymptotic properties of parametric estimators (62F12) Parametric inference under constraints (62F30) General nonlinear regression (62J02)

Related Items (2)

Unnamed Item ⋮ Bias of LS estimators in nonlinear regression models with constraints. I: General case.

Cites Work

• Bias of LS estimators in nonlinear regression models with constraints. I: General case.
• A statistical model which combines features of factor analytic and analysis of variance techniques
• The Analysis of Nonadditivity in Two-Way Analysis of Variance
• Shifted multiplicative models for nonadditive two-way tables
• A New Analysis of Variance Model for Non-Additive Data
• An Analysis of a Two-Way Model with Interaction and No Replication
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